基于压强及下沉量测量方法的汽车轮胎静态接地压力研究

发布时间：2018-05-30 16:52

本文选题：轮胎压强 + 下沉量　；参考：《西北师范大学》2016年硕士论文

【摘要】：汽车的舒适性和安全性在很大程度上受轮胎性能的影响。作为汽车的主要部件之一,匹配的轮胎压强和恰当的接地压力可以减少轮胎磨损,延长轮胎使用寿命,减少对道路的损坏。试验研究表明,轮胎接地压力的分布直接决定了轮胎使用过程中的性能以及路面的受力状况,而轮胎结构的设计决定着它的压力分布状况。在轮胎结构的设计中要有足够精确的数据作为参考,汽车轮胎静态接地压力研究是轮胎设计和道路寿命研究等工作的重点。目前,国内外轮胎接地压力的研究方法主要有光吸收法、压敏膜法、压力板法、压力传感器法以及有限元分析方法。其中有限元方法运用最为广泛,但是这主要是一种数值仿真方法,主要提供理论指导,不能实际测量出已生产的轮胎性能如何。而其他测量方法,在实际的运用中,又存在着一定的局限性和不同的问题。在本论文的实际研究中,通过阅读有关文献和比较相关数据,并且参考了《GB/T22038-2008汽车轮胎静态接地压力分布试验方法》和《GB/T 2977-2008载重汽车轮胎规格、尺寸、气压与负荷》的计算标准后,提出了基于压强及下沉量测量方法研究汽车轮胎静态接地压力的方法。本论文利用项目中设计的一个基于压强及下沉量测量方法的测量系统,在测量系统中获得所需要的数据并生成excel文档。然后利用excel文档中采集的数据训练BP神经网络模型,对轮胎接地压力进行预测。本论文的主要工作如下:(1)阅读了大量国内外参考文献,分析了现有轮胎接地压力研究方法的不足以及BP神经网络的应用,在此基础上提出了基于压强及下沉量测量方法研究汽车轮胎静态接地压力的方法;(2)确定了本文的研究方法和测量依据,通过整体需求分析制定了方案,然后设计了一个测量系统。其中硬件部分是以FPGA为控制核心,软件部分用C#编写的可视化用户操作界面,上位机和下位机通过串口通信,实现数据的采集及分析,并以excel文件的形式储存起来;(3)最后将采集的数据用BP神经网络建立模型,对轮胎接地压力进行预测,并与实测值进行了比较分析。
[Abstract]:Car comfort and safety are largely affected by tire performance. As one of the main parts of automobile, matching tire pressure and proper earthing pressure can reduce tire wear, prolong tire service life and reduce road damage. The experimental results show that the distribution of tire earthing pressure directly determines the performance of tire and the stress of road surface, and the design of tire structure determines its pressure distribution. There should be enough accurate data for reference in the design of tire structure. The research on static earthing pressure of automobile tire is the focus of tire design and road life research. At present, the research methods of tire grounding pressure at home and abroad include light absorption method, pressure sensitive membrane method, pressure plate method, pressure sensor method and finite element analysis method. The finite element method is the most widely used method, but it is mainly a numerical simulation method, which mainly provides theoretical guidance, and can not actually measure the performance of the produced tire. However, there are some limitations and different problems in the practical application of other measurement methods. In the actual study of this paper, by reading the relevant literature and comparing the relevant data, and referring to "GB/T22038-2008 tire static earthing pressure distribution test method" and < GB/T 2977-2008 truck tire specifications, dimensions, After the calculation standard of pressure and load >, a method of studying static earthing pressure of automobile tire based on the measurement of pressure and subsidence is put forward. In this paper, a measurement system based on the method of pressure and subsidence measurement is designed in the project to obtain the required data and generate the excel document in the measurement system. Then BP neural network model is trained by the data collected in excel document to predict tire grounding pressure. The main work of this paper is as follows: (1) We have read a lot of references at home and abroad, analyzed the deficiency of existing research methods of tire earthing pressure and the application of BP neural network. On the basis of this, the paper puts forward the method of studying static grounding pressure of automobile tire based on pressure and subsidence measurement method, and determines the research method and measurement basis of this paper, and formulates the scheme through the whole demand analysis. Then a measuring system is designed. The hardware part takes FPGA as the control core, the software part uses the visual user interface written by C #, and the upper computer and the lower computer communicate through serial port to realize the data acquisition and analysis. Finally, the collected data are modeled by BP neural network, and the tire grounding pressure is predicted and compared with the measured data.
【学位授予单位】：西北师范大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U463.341

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